Yiu Ming CHEUNG

Emailymchkbu.eduhk

Accepting PhD Students

PhD projects

1. Developing Machine Learning Methods for Industrial Big Data Analysis and Traceability of Product Quality Abnormality;

2. Unsupervised Multi-source Domain Adaptation Approach to Deep Classification under a Complex Environment: A Challenging Problem?

3. On Detecting Cross-modal Emotional Inconsistency for Early Screening of Children with Autism Spectrum Disorder;

4. Semi-supervised Classification of Long-tailed Data with Hierarchically Related Labels in a Concept Drift Environment.

Research activity per year

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173 Journal article
144 Conference contribution
12 Editorial
6 Conference paper
More

150 - 200 out of 345 results

Conference paper
A new approach to blind source separation with global optimal property
CHEUNG, Y. M. & Liu, H., 2004, p. 137-141. 5 p.
Research output: Contribution to conference › Conference paper › peer-review
16 Citations (Scopus)
Color Image Segmentation Using Rival Penalized Controlled Competitive Learning
Law, L. T. & CHEUNG, Y. M., 2003, p. 108-112. 5 p.
Research output: Contribution to conference › Conference paper › peer-review
35 Citations (Scopus)
Proximal average approximated incremental gradient method for composite penalty regularized empirical risk minimization
CHEUNG, Y. M. & Lou, J., 2015, p. 205-220. 16 p.
Research output: Contribution to conference › Conference paper › peer-review
Rival penalized Self-Organizing Map
Law, L. T. & CHEUNG, Y. M., 2004, p. 142-145. 4 p.
Research output: Contribution to conference › Conference paper › peer-review
1 Citation (Scopus)
Editorial

2006 International Conference on Computational Intelligence and Security, ICCIAS 2006: Preface
CHEUNG, Y. M., Wang, Y. & Liu, H., 2007, In: 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. 1, p. iii 1 p., 4072026.
Research output: Contribution to journal › Editorial

Open Access
Computational intelligence in astronomy
Guo, P., Wang, Y., Liu, H. & CHEUNG, Y. M., 2018, In: International Journal of Computational Intelligence Systems. 11, 1, p. 573-574 2 p.
Research output: Contribution to journal › Editorial

Open Access
Guest editorial
Wang, Y., CHEUNG, Y. M. & Liu, H., 2013, In: Journal of Computers (Finland). 8, 2, p. 265-266 2 p.
Research output: Contribution to journal › Editorial
Guest Editorial: Special issue on advanced methods in optimization and Machine learning for heterogeneous data analytics
Cheung, Y. M. & Wang, Y., 11 Oct 2021, In: Neurocomputing. 458, p. 511-513 3 p.
Research output: Contribution to journal › Editorial
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments
Dingr, W., Pal, N. R., Lin, C. T., Cheung, Y. M., Cao, Z. & Luo, W., Feb 2021, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 5, 1, p. 2-5 4 p.
Research output: Contribution to journal › Editorial

Open Access
International Journal of Pattern Recognition and Artificial Intelligence: Editorial
CHEUNG, Y. M., Wang, Y., You, X. & Wang, P. S., Feb 2009, In: International Journal of Pattern Recognition and Artificial Intelligence. 23, 1, p. 1-2 2 p.
Research output: Contribution to journal › Editorial
Nature-inspired algorithms and applications: Selected papers from CIS2013
Wang, Y., CHEUNG, Y. M., Gao, X. Z., Wang, P. & Liu, H., 2015, In: Mathematical Problems in Engineering. 2015, 641780.
Research output: Contribution to journal › Editorial

Open Access
Preface
CHEUNG, Y. M., Wang, Y. & Guo, P., 2016, In: International Journal of Computational Science and Engineering. 12, 1, p. 1-2 2 p.
Research output: Contribution to journal › Editorial
Preface
LIU, J., CHEUNG, Y. M. & Yin, H., 2003, In: Lecture Notes in Computer Science. 2690, p. VI 1 p.
Research output: Contribution to journal › Editorial
Selected papers from the 7th international conference on Computational Intelligence and Security (CIS'2011)
Wang, Y., CHEUNG, Y. M., Liu, H. & Xiao, M., 2012, In: Mathematical Problems in Engineering. 2012, 839154.
Research output: Contribution to journal › Editorial

Open Access
Selected papers from the 8th international conference on computational intelligence and security (CIS2012)
Wang, Y., CHEUNG, Y. M., Song, A. & Liu, H., 2013, In: Mathematical Problems in Engineering. 2013, 136450.
Research output: Contribution to journal › Editorial

Open Access
Selected papers from the ninth international conference on computational intelligence and security
CHEUNG, Y. M., Wang, Y., Liu, H. & Li, X., 2013, In: The Scientific World Journal. 2013, 467321.
Research output: Contribution to journal › Editorial

Open Access
Journal article
A batch rival penalized expectation-maximization algorithm for gaussian mixture clustering with automatic model selection
Wen, J., Zhang, D., CHEUNG, Y. M., Liu, H. & You, X., 2012, In: Computational and Mathematical Methods in Medicine. 2012, 425730.
Research output: Contribution to journal › Journal article › peer-review

Open Access
8 Citations (Scopus)
A blind watermarking scheme using new nontensor product wavelet filter banks
You, X., Du, L., CHEUNG, Y. M. & Chen, Q., Dec 2010, In: IEEE Transactions on Image Processing. 19, 12, p. 3271-3284 14 p., 5497149.
Research output: Contribution to journal › Journal article › peer-review
130 Citations (Scopus)
A branch and bound irredundant graph algorithm for large-scale MLCS problems
Wang, C., Wang, Y. & Cheung, Y., Nov 2021, In: Pattern Recognition. 119, 13 p., 108059.
Research output: Contribution to journal › Journal article › peer-review
7 Citations (Scopus)
A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem
Wei, S., Wang, Y. & Cheung, Y. M., 1 Mar 2023, In: IEEE Transactions on Knowledge and Data Engineering. 35, 3, p. 2179-2192 14 p.
Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus)
A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network
Zhang, Z., Peng, Q., Fu, S., Wang, W., Cheung, Y-M., Zhao, Y., Yu, S. & You, X., 4 Feb 2022, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-14 14 p.
Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus)
A constrained multiobjective evolutionary algorithm based on adaptive constraint regulation
Gu, F., Liu, H., Cheung, Y. & Liu, H-L., Jan 2023, In: Knowledge-Based Systems. 260, 110112.
Research output: Contribution to journal › Journal article › peer-review
A Cooperative Learning-Based Clustering Approach to Lip Segmentation Without Knowing Segment Number
CHEUNG, Y. M., Li, M., Peng, Q. & Philip Chen, C. L., Jan 2017, In: IEEE Transactions on Neural Networks and Learning Systems. 28, 1, p. 80-93 14 p.
Research output: Contribution to journal › Journal article › peer-review
13 Citations (Scopus)
Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation
Liu, X., Peng, S. J., CHEUNG, Y. M., Tang, Y. Y. & Du, J. X., 1 Dec 2014, In: IET Image Processing. 8, 12, p. 824-832 9 p.
Research output: Contribution to journal › Journal article › peer-review

Open Access
3 Citations (Scopus)
A Cα-dominance-based solution estimation evolutionary algorithm for many-objective optimization
Liu, J., Wang, Y. & Cheung, Y. M., 19 Jul 2022, In: Knowledge-Based Systems. 248, 108738.
Research output: Contribution to journal › Journal article › peer-review
3 Citations (Scopus)
Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift
Lu, Y., Cheung, Y. M. & Tang, Y. Y., Aug 2020, In: IEEE Transactions on Neural Networks and Learning Systems. 31, 8, p. 2764-2778 15 p.
Research output: Contribution to journal › Journal article › peer-review
34 Citations (Scopus)
Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection
Yi, S., He, Z., Jing, X. Y., Li, Y., CHEUNG, Y. M. & Nie, F., Jun 2020, In: IEEE Transactions on Neural Networks and Learning Systems. 31, 6, p. 2153-2163 11 p., 8818654.
Research output: Contribution to journal › Journal article › peer-review
27 Citations (Scopus)
A divide-and-conquer learning approach to radial basis function networks
CHEUNG, Y. M. & Huang, R. B., Jun 2005, In: Neural Processing Letters. 21, 3, p. 189-206 18 p.
Research output: Contribution to journal › Journal article › peer-review
5 Citations (Scopus)
Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval
Liu, X., Cheung, Y. M., Hu, Z., He, Y. & Zhong, B., Aug 2021, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 5, 4, p. 607-619 13 p.
Research output: Contribution to journal › Journal article › peer-review
11 Citations (Scopus)
A fast implementation of radial basis function networks with application to time series forecasting
Huang, R. B. & CHEUNG, Y. M., 2004, In: Lecture Notes in Computer Science. 2690, p. 143-150 8 p.
Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus)
Agglomerative fuzzy K-Means clustering algorithm with selection of number of clusters
Li, M. J., NG, K. P., CHEUNG, Y. M. & Huang, J. Z., Nov 2008, In: IEEE Transactions on Knowledge and Data Engineering. 20, 11, p. 1519-1534 16 p., 4515866.
Research output: Contribution to journal › Journal article › peer-review
221 Citations (Scopus)
A high-capacity reversible data hiding method for homomorphic encrypted images
Wu, H. T., Cheung, Y. M., Yang, Z. & Tang, S., Jul 2019, In: Journal of Visual Communication and Image Representation. 62, p. 87-96 10 p.
Research output: Contribution to journal › Journal article › peer-review
36 Citations (Scopus)
A Highly Robust Reversible Watermarking Scheme Using Embedding Optimization and Rounded Error Compensation
Tang, Y., Wang, S., Wang, C., Xiang, S. & Cheung, Y-M., Apr 2023, In: IEEE Transactions on Circuits and Systems for Video Technology. 33, 4, p. 1593-1609 17 p.
Research output: Contribution to journal › Journal article › peer-review
2 Citations (Scopus)
A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance
Peng, Q., CHEUNG, Y. M., You, X. & Tang, Y. Y., Jan 2017, In: IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. 47, 1, p. 86-97 12 p., 7479564.
Research output: Contribution to journal › Journal article › peer-review
32 Citations (Scopus)
A local region based approach to lip tracking
CHEUNG, Y. M., Liu, X. & You, X., Sept 2012, In: Pattern Recognition. 45, 9, p. 3336-3347 12 p.
Research output: Contribution to journal › Journal article › peer-review
28 Citations (Scopus)
A maximum likelihood approach to temporal factor analysis in state-space model
CHEUNG, Y. M., Oct 2006, In: Signal Processing. 86, 10, p. 2966-2980 15 p.
Research output: Contribution to journal › Journal article › peer-review
3 Citations (Scopus)
A multi-objective evolutionary algorithm using min-max strategy and sphere coordinate transformation
Liu, H. L., Wang, Y. & CHEUNG, Y. M., Jan 2009, In: Intelligent Automation and Soft Computing. 15, 3, p. 361-384 24 p.
Research output: Contribution to journal › Journal article › peer-review
42 Citations (Scopus)
Analysis of gene expression data using rpem algorithm in normal mixture model with dynamic adjustment of learning rate
Zhao, X. M., CHEUNG, Y. M. & Huang, D. S., Jun 2010, In: International Journal of Pattern Recognition and Artificial Intelligence. 24, 4, p. 651-666 16 p.
Research output: Contribution to journal › Journal article › peer-review
10 Citations (Scopus)
An evolutionary algorithm for TD-LTE resource allocation based on adaptive fairness threshold
Wang, Q., Liu, H. L., Li, Z. H., CHEUNG, Y. M. & Zhang, J., 2014, In: Lecture Notes in Computer Science. 8886, p. 713-722 10 p.
Research output: Contribution to journal › Journal article › peer-review
2 Citations (Scopus)
A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering
Zhang, Y. & Cheung, Y. M., Feb 2022, In: IEEE Transactions on Cybernetics. 52, 2, p. 758-771 14 p.
Research output: Contribution to journal › Journal article › peer-review
9 Citations (Scopus)
A New Distance Metric for Unsupervised Learning of Categorical Data
Jia, H., CHEUNG, Y. M. & LIU, J., May 2016, In: IEEE Transactions on Neural Networks and Learning Systems. 27, 5, p. 1065-1079 15 p., 7120127.
Research output: Contribution to journal › Journal article › peer-review
81 Citations (Scopus)
A new feature selection method for Gaussian mixture clustering
Zeng, H. & CHEUNG, Y. M., Feb 2009, In: Pattern Recognition. 42, 2, p. 243-250 8 p.
Research output: Contribution to journal › Journal article › peer-review
64 Citations (Scopus)
A new information-theoretic based ICA algorithm for blind signal separation
CHEUNG, Y. M. & Xu, L., 2003, In: International Journal of Computers and Applications. 25, 2, p. 106-110 5 p.
Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus)
A new quantifying crossover with ternary representation
Ming, L., Wang, Y. & CHEUNG, Y. M., Jan 2009, In: Intelligent Automation and Soft Computing. 15, 3, p. 343-360 18 p.
Research output: Contribution to journal › Journal article › peer-review
An Expensive Multi-objective Optimization Algorithm Based on Decision Space Compression
Liu, H., Gu, F. & Cheung, Y. M., Jul 2021, In: International Journal of Pattern Recognition and Artificial Intelligence. 35, 9, 19 p., 2159039.
Research output: Contribution to journal › Journal article › peer-review

Open Access
File
1 Citation (Scopus)

2 Downloads (Pure)
An extended ASLD trading system to enhance portfolio management
Hung, K. K., CHEUNG, Y. M. & Xu, L., Mar 2003, In: IEEE Transactions on Neural Networks. 14, 2, p. 413-425 13 p.
Research output: Contribution to journal › Journal article › peer-review
16 Citations (Scopus)
A novel approach to extracting features from motif content and protein composition for protein sequence classification
Zhao, X. M., CHEUNG, Y. M. & Huang, D. S., Oct 2005, In: Neural Networks. 18, 8, p. 1019-1028 10 p.
Research output: Contribution to journal › Journal article › peer-review
46 Citations (Scopus)
A Novel Deep Learning-Based Robust Dual-Rate Dynamic Data Modeling for Quality Prediction
Meng, X., Liu, Q., Yang, C., Zhou, L. & Cheung, Y-M., 12 May 2023, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. p. 1-11 11 p.
Research output: Contribution to journal › Journal article › peer-review
A novel hybrid GA/RBFNN technique for protein sequences classification
Zhao, X. M., Huang, D. S. & CHEUNG, Y. M., May 2005, In: Protein and Peptide Letters. 12, 4, p. 383-386 4 p.
Research output: Contribution to journal › Journal article › peer-review
9 Citations (Scopus)
A novel Markov pairwise protein sequence alignment method for sequence comparison
Zhao, X. M., CHEUNG, Y. M. & Huang, D. S., Oct 2005, In: Protein and Peptide Letters. 12, 7, p. 665-669 5 p.
Research output: Contribution to journal › Journal article › peer-review
4 Citations (Scopus)

Yiu Ming CHEUNG, Prof

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